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NEW QUESTION # 299
A company uses memory-optimized Amazon EC2 instances behind a Network Load Balancer (NLB) to run an application. The company launched the EC2 instances from an AWS-provided Red Hat Enterprise Linux (RHEL) AMI.
A CloudOps engineer must monitor RAM utilization in 5-minute intervals. The CloudOps engineer must ensure that the EC2 instances scale in and out appropriately based on incoming load.
Which solution will meet these requirements?
Answer: A
Explanation:
EC2 does not publish RAM utilization as a native CloudWatch metric by default. Memory metrics such as mem_used_percent are typically collected by the CloudWatch Agent, which runs on the instance and publishes custom metrics to CloudWatch. Because the requirement is RAM utilization at 5-minute intervals, the CloudWatch Agent can be configured to emit metrics at that cadence (or faster).
"Detailed monitoring" for EC2 mainly affects EC2-provided metrics (like CPU) by changing the period from 5 minutes (basic) to 1 minute (detailed). It does not magically provide memory utilization. Therefore, the key requirement is installing/configuring the CloudWatch Agent and ensuring it has permissions to publish metrics (via an IAM role attached to the instance / instance profile).
NEW QUESTION # 300
A company has deployed Amazon EC2 instances from custom Amazon Machine Images (AMIs) in two AWS Regions. The company registered all the instances with AWS Systems Manager.
The company discovers that the operating system on some instances has a significant zero-day exploit.
However, the company does not know how many instances are affected.
A CloudOps engineer must implement a solution to deploy operating system patches for the affected EC2 instances.
Which solution will meet this requirement with the LEAST operational overhead?
Answer: B
Explanation:
Because all instances are already managed by AWS Systems Manager, the lowest-overhead approach is to use Systems Manager Patch Manager end-to-end. Patch Manager is built specifically to scan managed instances for missing patches and to apply operating system patches according to defined rules. By defining a patch baseline, the CloudOps engineer establishes which patches are approved (and how quickly critical patches are approved), plus any exclusions and compliance rules. A Patch Manager scan can then be run to determine which instances are noncompliant and therefore likely affected by the vulnerability, without the engineer needing to manually inventory hosts.
After identifying affected (noncompliant) instances through the scan results, Patch Manager can apply patches directly using Patch Now (or an equivalent on-demand patch operation) in each Region. This matches the multi-Region requirement while keeping operations simple: no custom code, no additional services, and no complex event orchestration. It also produces compliance visibility in Systems Manager, which helps track remediation status for incident response.
Option B adds AWS Config unnecessarily. AWS Config is useful for recording and evaluating configuration changes and can report compliance against configuration rules, but it is not the most direct tool for identifying missing OS patches on instances already under Systems Manager management. Option C introduces additional moving parts (EventBridge rules and event-driven automation). While it can be powerful, it is more complex than a straightforward Patch Manager scan-and-patch workflow, and it assumes the right compliance events exist for this scenario before remediation begins. Option D is the highest operational burden because it requires rebuilding AMIs, launching replacement instances, and coordinating replacements across two Regions. That approach aligns to immutable infrastructure patterns, but it is not the least overhead for rapid remediation of existing instances.
Therefore, using Patch Manager with a patch baseline, scanning to identify affected instances, and applying patches in each Region is the simplest and most operationally efficient solution.
NEW QUESTION # 301
A CloudOps engineer is working on cost savings for a company. The CloudOps engineer notices multiple unused Elastic IP addresses. The addresses are spread across different accounts and AWS Regions in an organization in AWS Organizations.
The CloudOps engineer must administer and track the addresses based on security domains.
The CloudOps engineer must be able to view the history of assigned addresses.
Which solution will meet these requirements?
Answer: A
Explanation:
Amazon VPC IP Address Manager supports organization-wide IP address tracking across accounts and AWS Regions. It can group and administer IP usage by security or business domains through IPAM scopes and pools, and it provides visibility into IP address allocation history, including assigned and unassigned addresses.
NEW QUESTION # 302
A company's Amazon EC2 instance with high CPU utilization is a t3.large instance running a test web app.
The company determines the app would run better on a compute-optimized large instance.
What should the CloudOps engineer do?
Answer: A
Explanation:
As described in the AWS Cloud Operations and EC2 Management documentation, changing an instance type (e.g., from T3 to C5) requires that the instance be stopped first. Once stopped, the engineer can modify the instance type through the AWS Management Console, CLI, or API, then start the instance again to apply changes.
This process preserves the root volume, networking configuration, and data, making it an operationally safe and efficient way to upgrade to a different instance family.
Changing the instance type while running (Option D) is unsupported. VM Import/Export (Option A) is for external VM migration. Hibernation (Option B) does not apply to type changes.
Thus, Option C is correct - stopping the instance, changing its type, and restarting it meets AWS best practices.
Reference: AWS Cloud Operations & Compute Guide - Modifying EC2 Instance Types for Performance Optimization
NEW QUESTION # 303
A company uses Amazon ElastiCache (Redis OSS) to cache application data. A CloudOps engineer must implement a solution to increase the resilience of the cache. The solution also must minimize the recovery time objective (RTO).
Which solution will meet these requirements?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
For high availability and fast failover, ElastiCache for Redis supports replication groups with Multi-AZ and automatic failover. CloudOps guidance states that a primary node can be paired with one or more replicas across multiple Availability Zones; if the primary fails, Redis automatically promotes a replica to primary in seconds, thereby minimizing RTO. This architecture maintains in-memory data continuity without waiting for backup restore operations. Backups (Options B and D) provide durability but require restore and re-warm procedures that increase RTO and may impact application latency. Switching engines (Option A) to Memcached does not provide Redis replication/failover semantics and would not inherently improve resilience for this use case. Therefore, creating a read replica in a different AZ and enabling Multi-AZ with automatic failover is the prescribed CloudOps pattern to increase resilience and achieve the lowest practical RTO for Redis caches.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Reliability and Business Continuity
* Amazon ElastiCache for Redis - Replication Groups, Multi-AZ, and Automatic Failover
* AWS Well-Architected Framework - Reliability Pillar
NEW QUESTION # 304
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